Java performance tuning
Java performance tuning is a function of many things, such as code, networks, hardware (client configuration, memory, CPU speed, storage capacity, etc.) and databases. It is almost impossible to predict exactly where a performance tuning failure might occur. Performance tuning tools allow you to take applications to their point of failure by using virtual users. Java performance tuning must be precise to simulate concurrent load at exactly the same instant. With manual performance tuning, human reaction times simply can't achieve and maintain the same level of concurrency as seen with automated tools. Find the latest information and tuning best practices in this topic section.
News:1 - 3 of 16
Video: NetScout discusses new UPM platform
10 Nov 2014
News - At JavaOne 2014, NetScout VP and architect discuss Unified Performance Management platform in this video.
Startup promises native Java across mobile platforms
03 Oct 2014
News - Learn how startup company Codename One is promising native Java across mobile platforms.
Is Lambda affecting your Java performance?
07 Nov 2013
Conference News - Java champion Adam Bien discusses how Project Lambda is impacting Java performance.
Video:1 - 1 of 1
How BI + ALM = ALI and real-time application traceability
12 Oct 2011
Video - Pairing business intelligence with application lifecycle management (ALM) promises to deliver real-time application requirements traceability and simplify change management, said Kelly Emo, HP director of applications product marketing, in a JavaOne 2011...
Reference & Learning:1 - 3 of 52
Seven ways to optimize mobile apps for improved performance
26 Nov 2014
Feature - While many organizations have been developing mobile apps for years, making sure those apps are optimized in such a way that will improve performance is still a challenge. Here we look at seven simple ways organizations can optimize their mobile...
Choosing the right log aggreatator to mine your performance data
15 Oct 2014
Feature - To maintain and improve an existing system, being able to read and understand log files is an absolute requirement. Here we look at how various logging technologies compare with each other.
Goetz hangs his hat on lambda parallelism and performance
30 Sep 2014
Feature - When it comes to improving Java, few changes have been as eagerly anticipated as lambdas. From parallelism to performance, the lambda experiment is working, and smart software developers are adopting it.
Expert Technical Advice:1 - 3 of 7
JSF best practices for optimizing mobile application performance
04 Nov 2014
Tip - More and more applications are being built using the JSF frameworks, but traditional development approaches can create bottlenecks. Here we explore some tips and best practices for optimizing the performance of JSF based mobile applications.
Avoid JVM de-optimization: Get your Java apps runnings fast right fromt the start
13 May 2014
Tip - Many organizations warm up their JVMs before heavy loads and transaction volumes occur, but well intentioned routines that are poorly planned can actually de-optimize the Java runtime. Here are some tips from some of the industry's foremost experts on...
Optimizing JVM performance with smart garbage collection (GC) and bytecode caching
02 May 2014
Tip - Some JVM optimization techniques can actually slow down the Java Virtual Machine, but by optimizing garbage collection and using overriding the bytecode caching mechanisms, DevOps professionals can increase the performance of their systems.